Association between sleep duration, sleep quality, bedtime and myopia: A systematic review and meta‐analysis

Wang, Xing Xing; Liu, X; Lin, Qingqing; Dong, Ping; Wei, Yunbing; Liu, Jiajia

doi:10.1111/ceo.14277

Cited by 8 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whether sleep duration and chronotype are modifiable risk factors for the development of myopia has also aroused the interest of many researchers. A recently published systematic review including a total of 31 studies with 205,907 participants showed that sufficient sleep duration was associated with a lower risk of myopia ( 46 ) (OR = 0.63, 95%CI = 0.51–0.78). In addition, a population-based cross-sectional study in Shanghai reported that not only was shorter sleep duration associated with myopia, but evening and intermediate chronotypes were positively correlated ( 47 ).…”

Section: Discussionmentioning

confidence: 99%

Causal relationships between height, screen time, physical activity, sleep and myopia: univariable and multivariable Mendelian randomization

Liu,

Zhao,

Yuan

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

BackgroundThis study aims to investigate the independent causal relation between height, screen time, physical activity, sleep and myopia.MethodsInstrumental variables (IVs) for exposures and outcome were obtained from the largest publicly available genome-wide association studies (GWAS) databases. First, we performed a bidirectional univariate MR analysis using primarily the inverse variance weighted method (IVW) with height, screen time, physical activity and sleep as the exposure and myopia as the outcome to investigate the causal relationship between exposures and myopia. Sensitivity analysis was used to demonstrate its robustness. Then the multivariable MR (MVMR) and MR-based mediation approach was further used to estimate the mediating effect of potential confounders (education and time outdoors) on causality.ResultsThe results of univariate MR analysis showed that taller height (OR = 1.009, 95% CI = 1.005–1.012, p = 3.71 × 10−7), longer time on computer (OR = 1.048, 95% CI = 1.029–1.047, p = 3.87 × 10−7) and less moderate physical activity (OR = 0.976, 95% CI = 0.96–0.991 p = 2.37 × 10−3) had a total effect on the increased risk of developing myopia. Meanwhile our results did not have sufficient evidence to support the causal relationship between chronotype (p = 0.637), sleep duration (p = 0.952) and myopia. After adjusting for education, only taller height remains an independent risk factor for myopia. After adjusting for education, the causal relationship between height, screen and myopia still had statistical significance. A reverse causal relationship was not found in our study. Most of the sensitivity analyses showed consistent results with those of the IVW method.ConclusionOur MR study revealed that genetically predicted taller height, longer time on computer, less moderate physical activity increased the risk of myopia. After full adjustment for confounders, only height remained independently associated with myopia. As a complement to observational studies, the results of our analysis provide strong evidence for the improvement of myopia risk factors and provide a theoretical basis for future measures to prevent and control myopia in adolescents.

show abstract

Section: Discussionmentioning

confidence: 99%